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Big Data analytics reached a market valuation of $29.87 It is key to risk management functions, which entail assessing the likelihood that any given transaction could be fraudulent or present a creditrisk. One of the most powerful tools in the financial sector is data analytics.
Banks have been traditionally product-centric,” says Rajesh Saxena, CEO of Retail and Central Banking at Intellect Design Arena, a fintech designer for financial services. AI algorithms analyze vast amounts of data to assess creditrisk, detect anomalies, and prevent AML fraud,” Saxena notes. So, what about the GCC?
John Cronin, an analyst at Goodbody’s, told the Financial Times that by using banking partnerships, Amazon could “significantly extend” its SMB lending platform, “without any associated creditrisk of regulatory obligations (in the context of capital and liquidity and so forth).”. Never underestimate the value of logistics.
I found this conversation to be absolutely a masterclass in how to think about investing risk, how to think about where your returns come from, what sort of behavioral problems lead to bad outcomes, and all of the usual things that we’ve learned over the years from the success of Vanguard. And Greg Davis just does an amazing job.
India’s FinBox landed an undisclosed amount of pre-Series A funding, reports in Inc42 said this week, with investors at Arali Ventures leading the investment in the creditrisk management technology startup. MaxAB targets informal food and grocery retailers and suppliers, connecting them on a digital platform to conduct trade.
But at the end of the day, the companies we invest in are bottoms up or based on bottoms up credit analytics that we have the conviction and we’ll return par plus accrued through through a cycle. And if they don’t, we’re happy to own them at the valuation that we are creating that company act.
But there are so many tools at your disposal, and let alone how much duration you’re taking, how much interest, how much creditrisk you’re taking, illiquidity, et cetera. And how do you make the decision, I’m not comfortable with this creditrisk relative to the return it’s going to throw off?
And up until that moment in time, we didn’t spend a lot of time on creditrisk in mortgages. We didn’t really have to model creditrisk because that was, that risk was taken by the agencies. But in these private labels, you had the, the market was taking the creditrisk. Fascinating.
For example, CCDC provides issuance, registration, depository, settlement, valuation, collateral management, and information-disclosure services for green bonds, social responsibility bonds, and other sustainable finance products. Green loans to corporates constitute around 6% of overall loans, to retail around 1.4%.
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